Triple

T473772
Position Surface form Disambiguated ID Type / Status
Subject Svans E9015 entity
Predicate nativeName P15 FINISHED
Object სვანები E18229 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: სვანები | Statement: [Svans, nativeName, სვანები]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: სვანები
Context triple: [Svans, nativeName, სვანები]
  • A. Kakhetians
    Kakhetians are an ethnographic subgroup of Georgians traditionally inhabiting the Kakheti region in eastern Georgia, known for their distinct dialect, customs, and winemaking heritage.
  • B. Mkhedruli
    Mkhedruli is the modern Georgian script used for writing the Georgian language and several related Kartvelian languages.
  • C. Mingrelians
    Mingrelians are a Kartvelian ethnic group from western Georgia, primarily inhabiting the Samegrelo region and speaking the Mingrelian (Megrelian) language.
  • D. Svaneti chosen
    Svaneti is a remote mountainous region in northwestern Georgia, renowned for its medieval stone tower houses, unique Svan culture and language, and dramatic Caucasus landscapes.
  • E. Kato Svanidze
    Kato Svanidze was the first wife of Joseph Stalin, remembered primarily for her early death and its profound emotional impact on him.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0208c788190a96cdabcf593fda7 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a468010c10819090d325d6c3d6f50c completed March 1, 2026, 4:23 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.